Advanced Methods of Physiological System Modeling
Springer-Verlag New York Inc.
978-1-4757-9026-9 (ISBN)
Nonlinear Modeling of Physiological Systems Using Principal Dynamic Modes.- Experimental Basis for an Input/Output Model of the Hippocampal Formation.- Computational Methods of Neuronal Network Decomposition.- An Extension of the M-Sequence Technique for the Analysis of Multi-Input Nonlinear Systems.- Examples of the Investigation of Neural Information Processing by Point Process Analysis.- Testing a Nonlinear Model of Sensory Adaptation with a Range of Step Input Functions.- Identification of Nonlinear System with Feedback Structure.- Identification of Multiple-Input Nonlinear Systems Using Non-White Test Signals.- Nonlinear System Identification of Hippocampal Neurons.- Parametric and Nonparametric Nonlinear Modeling of Renal Autoregulation Dynamics.- Identification of Parametric (NARMAX) Models from Estimated Volterra Kernels.- Equivalence between Nonlinear Differential and Difference Equation Models Using Kernel Invariance Methods.- On Kernel Estimation Using Non-Gaussian and/or Non-White Input Data.- On the Relation between Volterra Models and Feedforward Artificial Neural Networks.- Three Conjectures on Neural Network Implementations of Volterra Models (Mappings).- Contributors.
Zusatzinfo | XII, 272 p. |
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Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
Studium ► 1. Studienabschnitt (Vorklinik) ► Physiologie | |
Technik ► Medizintechnik | |
ISBN-10 | 1-4757-9026-0 / 1475790260 |
ISBN-13 | 978-1-4757-9026-9 / 9781475790269 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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